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ORCID11th ML-CDS@MICCAI 2021: Strasbourg, France
- Tanveer F. Syeda-Mahmood
, Xiang Li, Anant Madabhushi, Hayit Greenspan, Quanzheng Li, Richard M. Leahy, Bin Dong, Hongzhi Wang:
Multimodal Learning for Clinical Decision Support - 11th International Workshop, ML-CDS 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings. Lecture Notes in Computer Science 13050, Springer 2021, ISBN 978-3-030-89846-5 - Kaitlin M. Stouffer, Zhenzhen Wang, Eileen Xu, Karl Lee, Paige Lee, Michael I. Miller, Daniel Jacob Tward:
From Picoscale Pathology to Decascale Disease: Image Registration with a Scattering Transform and Varifolds for Manipulating Multiscale Data. 1-11 - Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Eric O. Aboagye, Ben Glocker, Andrea G. Rockall:
Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification. 12-21 - Sobhan Moazemi, Markus Essler, Thomas Schultz, Ralph A. Bundschuh:
Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support. 22-35 - Hizir Can Bayram, Islem Rekik:
A Federated Multigraph Integration Approach for Connectional Brain Template Learning. 36-47 - Mafe Roa, Laura Alexandra Daza, María Escobar, Angela Castillo, Pablo Arbeláez:
SAMA: Spatially-Aware Multimodal Network with Attention For Early Lung Cancer Diagnosis. 48-58 - Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige, John O. Prior, Adrien Depeursinge:
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. 59-68 - Winston Zhang, Najla Al Turkestani, Jonas Bianchi, Celia Le, Romain Deleat-Besson, Antonio C. Ruellas, Lucia H. S. Cevidanes, Marilia Yatabe, João Roberto Gonçalves, Erika Benavides, Fabiana Soki, Juan Prieto, Beatriz Paniagua, Jonathan Gryak, Kayvan Najarian, Reza Soroushmehr:
Feature Selection for Privileged Modalities in Disease Classification. 69-80 - Romain Deleat-Besson, Celia Le, Winston Zhang, Najla Al Turkestani, Lucia H. S. Cevidanes, Jonas Bianchi, Antonio C. Ruellas, Marcela Gurgel, Camila Massaro, Aron Aliaga Del Castillo, Marcos Ioshida, Marilia Yatabe, Erika Benavides, Hector Rios, Fabiana Soki, Gisele Neiva, Kayvan Najarian, Jonathan Gryak, Martin Styner, Juan Fernando Aristizabal, Diego Rey, Maria Antonia Alvarez, Loris Bert, Reza Soroushmehr, Juan Prieto:
Merging and Annotating Teeth and Roots from Automated Segmentation of Multimodal Images. 81-92 - Yun Zhu, Xuegang Song, Yali Qiu, Chen Zhao, Baiying Lei:
Structure and Feature Based Graph U-Net for Early Alzheimer's Disease Prediction. 93-104 - Yafeng Li, Yiyao Liu, Tianfu Wang, Baiying Lei:
A Method for Predicting Alzheimer's Disease Based on the Fusion of Single Nucleotide Polymorphisms and Magnetic Resonance Feature Extraction. 105-115
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